17 citations · 36 across the 7 of their papers we have counts for
3 papers · 1 filter
Bayesian Nonparametrics for Non-exhaustive Learning
Yicheng Cheng, Bartek Rajwa, Murat Dundar
Non-exhaustive learning (NEL) is an emerging machine-learning paradigm designed to confront the challenge of non-stationary environments characterized by anon-exhaustive training s…
Scalable methods for nonnegative matrix factorizations of near-separable tall-and-skinny matrices
Austin R. Benson, Jason D. Lee, Bartek Rajwa +1
Numerous algorithms are used for nonnegative matrix factorization under the assumption that the matrix is nearly separable. In this paper, we show how to make these algorithms effi…
Bayesian Nonexhaustive Learning for Online Discovery and Modeling of Emerging Classes
Murat Dundar, Ferit Akova, Alan Qi +1
We present a framework for online inference in the presence of a nonexhaustively defined set of classes that incorporates supervised classification with class discovery and modelin…